page 157 Table 5.2 Classification table based on the logistic regression
model in Table 4.9 using a cutpoint of 0.5.

NOTE: The above code gives this table (at step 1).

page 159 Table 5.3 Classification table based on the logistic regression . model in Table 4.9 using a cutpoint of 0.5, but all probabilities pi-hat < 0.5
are replaced with pi-hat = 0.05 and all probabilities pi-hat >= 0.50 are . replaced with pi-hat = 0.95.

NOTE: We were unable to reproduce this table.

page 160 Table 5.4 Classification table based on the logistic regression . model in Table 4.9 using a cutpoint of 0.5, but all probabilities
pi-hat < 0.50 are replaced with pi-hat = 0.45 and all probabilities pi-hat >= 0.50 are replaced with pi-hat = 0.55.

NOTE: We were unable to reproduce this table.

page 161 Table 5.5 Classification table based on the logistic regression
model in Table 4.9 using a cutpoint of 0.6.

page 161 Table 5.6 Summary of sensitivity, specificity, and 1-specificity
for classification tables based on the logistic regression model in Table 4.9
using a cutpoint of 0.05 to 0.60 in increments of 0.05.